Platform Engineer

It's fun to work at a company where people truly believe in what they are doing!

At Epiq AI Labs, we’re building AIDA, the premier AI-driven platform for legal discovery and knowledge management. Our mission is to transform how law firms and legal service providers manage complex litigation, process documents, and build durable, reusable knowledge. AIDA powers advanced reasoning, large-scale data processing, and AI-assisted workflows that operate at enterprise scale and under real legal constraints.

As we expand AIDA into a foundational platform, infrastructure is a first-class product. We are investing deeply in scalable data systems, distributed processing, and secure identity foundations that enable advanced AI capabilities while meeting the reliability, performance, and defensibility requirements of the legal domain.

Platform Engineers on the AIDA team design, build, and evolve the core systems that support our AI-driven platform. This role sits at the intersection of databases, distributed systems, data pipelines, and identity infrastructure.

You will work on foundational capabilities that directly impact performance, scalability, reliability, and developer velocity across the entire platform. You’ll be involved from early design through execution, producing clear technical design documents and leading the implementation of modern infrastructure patterns using tools like Terraform, Kubernetes, and cloud-native services. You will collaborate closely with backend engineers, AI engineers, product leaders, and security stakeholders to modernize legacy components, introduce new infrastructure primitives, and ensure AIDA can scale across customers, workloads, and use-cases.

Your day-to-day may include designing and implementing modern authentication and authorization systems, architecting multi-tenant database solutions, building systems to handle multi-million file processing workloads, or improving async processing reliability through message queues and observability. Each initiative directly enables higher-level AI and legal reasoning capabilities across the platform.

All infrastructure work must be designed with robustness (fault tolerance, retry mechanisms, graceful degradation) and observability (metrics, logging, tracing, alerting) as first-class requirements.

• Design and implement identity and access management solutions using modern authentication standards (OAuth2, OIDC, SAML)
• Design and build secure, scalable Customer Identity and Access Management (CIAM) systems for multi-tenant environments
• Establish authorization patterns and policies that support complex organizational hierarchies and role-based access control

• Design and implement multi-tenant database architectures that support AI workloads at scale
• Optimize relational, vector, and search database deployments for performance and cost efficiency
• Produce technical design documents and lead execution of database infrastructure improvements
• Establish data modeling patterns and best practices across the platform

• Design and implement message-queue-based asynchronous processing frameworks
• Lead migrations from legacy systems to modern, scalable architectures
• Improve system reliability and fault tolerance

• Design and implement scalable systems to handle multi-million small file workloads, including parsing, ingestion, storage, partitioning, and indexing strategies
• Build data pipeline architectures with comprehensive observability to monitor pipeline health, throughput, and data quality
• Optimize storage layouts and access patterns for legal document processing at scale

• Work closely with product, AI, backend, and security teams to align infrastructure capabilities with platform needs
• Establish best practices that improve system maintainability and developer velocity

• 5+ years of experience in platform engineering, infrastructure engineering, or related roles
• Proven…